dharmendrach/bert_quora_question_pairs
BERT Model Fine-tuning on Quora Questions Pairs
This project helps machine learning engineers or data scientists fine-tune a BERT model to identify if two questions are semantically equivalent. You input question pairs and get an output indicating the likelihood they are duplicates. This is for professionals building question-answering systems, chatbots, or search engines who need to handle redundant user queries efficiently.
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Use this if you are a machine learning practitioner looking for a pre-configured setup to fine-tune a BERT model for duplicate question detection using Google Colab and TPUs.
Not ideal if you are not familiar with BERT models, deep learning, or Python, as this project requires technical expertise to implement.
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32
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9
Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 11, 2019
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